Quantum Doubly Stochastic Transformers
- Jannis Born
- Filip Skogh
- et al.
- 2025
- NeurIPS 2025
Conference paper
Publications
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2025
- NeurIPS 2025
Conference paperMulti-Dimensional ML-Pipeline Optimization in Cost-Effective Disaggregated Datacenter
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- et al.
- 2025
- MICRO 2025
Conference paperNetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training
- Jinghan Huang
- Hyungyo Kim
- et al.
- 2025
- MICRO 2025
Conference paperChameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
- Nikoleta Iliakopoulou
- Jovan Stojkovic
- et al.
- 2025
- MICRO 2025
Conference paperBreaking and Fixing Content-Defined Chunking
- Kien Tuong Truong
- Simon-philipp Merz
- et al.
- 2025
- CCS 2025
Conference paperMembership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble
- Zhiqi Wang
- Chengyu Zhang
- et al.
- 2025
- CCS 2025
Conference paperGPU Travelling: Efficient Confidential Collaborative Training with TEE-Enabled GPUs
- Shixuan Zhao
- Zhongshu Gu
- et al.
- 2025
- CCS 2025
Conference paperCache_ext: Customizing the Page Cache with eBPF
- Tal Zussman
- Ioannis Zarkadas
- et al.
- 2025
- SOSP 2025
Conference paperSkyStore: Cost-Optimized Object Storage Across Regions and Clouds
- Shu Liu
- Xiangxi Mo
- et al.
- 2025
- VLDB 2025
Conference paper